The Social Value of Snapchat: An Exploration of Affiliation Motivation, the Technology Acceptance Model, and Relational Maintenance in Snapchat Use

2017 ◽  
Vol 34 (5) ◽  
pp. 410-420 ◽  
Author(s):  
Taj W. Makki ◽  
Julia R. DeCook ◽  
Travis Kadylak ◽  
Olivia JuYoung Lee
2021 ◽  
Vol 10 (3) ◽  
pp. 140-169
Author(s):  
Ayslane Costa da Silva ◽  
Danilo Serafim da Silva ◽  
Luiz Mendes Filho ◽  
Mauro Lemuel De Oliveira Alexandre

Objetivo do estudo: Analisar os fatores que influenciam o conselho obtido em Comunidades de Viagem Online (CVO) na escolha do destino turístico.Metodologia/abordagem: Trata-se de uma pesquisa do tipo exploratório-descritiva com abordagem quantitativa. Utilizou-se de técnicas de análise estatística e métodos multivariados básicos e avançados como análise fatorial exploratória, confirmatória e modelagem de Equações Estruturais, a partir do Statistical Package for the Social Sciences (SPSS).Originalidade/Relevância: Este estudo substancia os efeitos das dimensões do Technology Acceptance Model (TAM) e da confiança na intenção de seguir o conselho em CVO na escolha de um destino turístico. O Modelo Conceptual derivado desta pesquisa ajuda os profissionais a estimular o envolvimento do cliente a partir da perspectiva das interações de socialização baseadas na confiança e na atitude em relação à CVO.Contribuições teóricas/metodológicas: Ao escolherem a CVO como fonte de informação, viajantes sentem-se confiantes em receber conselhos. As dimensões de confiança (honestidade, benevolência, competência) expressam-se em aspectos de relacionamento mutuo entre os usuários, ao assumirem papel de parceiros na CVO. Ao integrar o TAM, nesse contexto, a confiança reforça a relevância e contribuição teórica de ser antecedente significativo da intenção no comportamento de viagem, sustentada pelo papel social e informal de comunicação em CVO.Principais resultados: A confiança na CVO mostra-se como principal antecedente a fim de formar a atitude em relação ao conselho obtido na CVO, na utilidade percebida do conselho e na intenção de seguir esse conselho na CVO. Por outro lado, a utilidade não demonstrou ser um fator determinante na atitude tampouco na intenção de seguir o conselho obtido na CVO.


2020 ◽  
pp. 097639962093850
Author(s):  
Krishna Moorthy ◽  
Nik Mohamad Zaki Nik Salleh ◽  
Ang Xin Jie ◽  
Chan Shu Yi ◽  
Lau Shin Wei ◽  
...  

This study examines the social media usage of Malaysian millennials in planning their domestic holidays. This study integrated the theory of planned behaviour (TPB) and technology acceptance model (TAM) variables by adding electronic word-of-mouth (e-WOM), as it is a crucial factor influencing the travel industry nowadays. Data were collected from 301 Malaysians. The results show that e-WOM is the greatest antecedent influencing Malaysian millennials to use social media in planning their domestic holidays. Local tourism organizations such as Tourism Malaysia could gain an understanding of the issue through this study, and the promotion of local tourism through social media could be developed to reach millennials in Malaysia.


Author(s):  
Brandis Phillips ◽  
Belinda Shipps

The social networking population continues to expand at a phenomenal pace. Nevertheless, the question of how an organization gets people to spend long periods on a particular social networking website as well as return to the website is becoming increasingly important. Is the technological sophistication of the website or the social aspect most important? This study addresses technological and social factors. The authors examine social network use by employing a survey instrument to gather data about technological factors based on the technology acceptance model and social factors collecting data on constructs representing social involvement and the sheer enjoyment of using the social networking website. Results of the study suggest that users of social networks are more apt to frequently use a site based upon social/enjoyment factors as opposed to technology-related factors.


Author(s):  
Reza Mojtahed ◽  
Guo Chao Peng

Explaining the factors that lead to use and acceptance of Information Technology (IT), both at individual and organizational levels, has been the focus of Information Systems (IS) researchers since the 1970s. The Technology Acceptance Model (TAM) is known as such an explanatory model and has increasingly gained recognition due to its focus on theories of human behaviour. Although this model has faced some criticism in terms of not being able to fully explain the social-technical acceptance of technology, TAM is still known as one of the best IS methodologies that contribute greatly to explain IT/IS acceptance. It has been widely used in different areas of IS studies, such as e-commerce, e-business, multimedia, and mobile commerce. This chapter discusses, describes, and explains TAM as one of the well-known information system research models and attempts to demonstrate how this model can be customised and extended when applyied in practice in IS research projects. In order to illustrate this, the chapter presents and discussed two case studies, respectively, applying TAM in the areas of mobile banking and mobile campus in the UK. It is also proposed that comparing with the traditional questionnaire approach, mixed-methods designs (that contain both a quantitative and a qualitative component) can generate more meaningful and significant findings in IS studies that apply the TAM model. The practical guidance provided in this chapter is particularly useful and valuable to researchers, especially junior researchers and PhD students, who intend to apply TAM in their research.


2019 ◽  
Vol 20 (2) ◽  
pp. 136-146
Author(s):  
Baibul Tujni ◽  
Hutrianto Hutrianto

The development of science and information technology supports activities carried out by individuals in using technology, to support operational and management performance. Such as Mobile-based e-Samsat Service to serve vehicle taxation with two-wheeled or four-wheeled vehicles, especially the people of Palembang. Mobile tax payments that can make it easier and closer to densely populated locations or caused by busyness. Information systems help service income tax factors of successful application and use of information technology are user factors. The level of readiness of users to receive information technology has a major influence in determining whether or not the application of the technology is successful. The purpose of this study is to identify factors that influence users in using the mobile-based e-Samsat Information System in the city of Palembang. Data analysis was carried out with SPSS (Statistical package for the social science) with the TAM (Technology Acceptance Model) software which is a technology acceptance model that will be used by technology users. By evaluating e-Samsat, it is to find out whether the system has served motor vehicle tax payments properly and has met service quality standards. This study will evaluate the performance of e-Samsat with TAM instruments


Author(s):  
Tuan Sarifah Aini Syed Ahmad ◽  
Zarina Suriya Ramlan ◽  
Shashi Kumar Krishnan

Online learning has been implemented at the tertiary level by using many platforms such as the university learning management system, massive open online courses (MOOCs) and mobile applications. Online learning permits personalization and autonomous learning. However, this is not the case for the English Exit Test. An initiative was made to provide an online platform for students to practice using the language via Google Classroom. Google Classroom can be accessed as a mobile application on a smartphone or on the web by using a computer. It is essential to support the students’ learning in preparation for the test since it is the requirement of graduation for degree students at Universiti Teknologi MARA. This study aimed at determining the level of acceptance in using Google Classroom for learning English Exit Test among students. The sample was selected using purposive sampling. The data were collected using a survey designed based on the Technology Acceptance Model (TAM) and went through data cleansing using Statistical Packages for the Social Sciences (SPSS) Version 21. The data were then analysed using Partial Least Squares Structural Equation Modelling (PLS-SEM). The results indicate that students positively accepted the use of Google Classroom in preparation for the English Exit Test.


2019 ◽  
Vol 15 (30) ◽  
Author(s):  
Rubén Suárez Escalona ◽  
Armando Tijerina García ◽  
Gloria Nelly Salas Celestino ◽  
María de la Luz Escalona Galindo

Abstract: It is indisputable that technology advances exponentially, and people try to adapt to change constantly, however, the change is so fast that many times users can get uncomfortable with the new technology and generate resistance to its use. For this reason, the intention of this study is to propose a model of acceptance of educational modifying the TAM (Technology Acceptance Model) to the needs of the educational context, by adding the variable perception of playful. The study was conducted at the Faculty of Philosophy and Letters of the UANL, where 100 surveys were applied to undergraduate students, obtaining a good reliability in the designed instrument. Later, the statistical package, SPSS (Statistical Package for the Social Sciences) was used to analyze the data, using the method of successive steps of the multivariate regression. The results of the study show that there are significant relationships between the variables in he proposed model. In general, the study shows in a clear and parsimonious way the most important factors that influence the acceptance of the Nexus platform, therefore, it is concluded that it can be applied in the acceptance of educational technology.Key words: e-learning, learning management system (LMS), Task Fit Technology (TTF), Technology Acceptance Model (TAM), Unified Theory of Acceptance and Use of Technology (UTAUT)JEL: M15, O32, O33.Resumen. Es indiscutible que la tecnología avanza de manera exponencial, las personas intentan adaptarse al cambio frecuente y constante, sin embargo, el cambio es tan rápido que muchas veces los usuarios pueden llegar a sentirse incómodos con la nueva tecnología y generar una resistencia a su uso. Por tal motivo, la intención de este estudio es proponer un modelo de aceptación de tecnología educativa, modificando el modelo TAM por sus siglas en inglés (Technology Acceptance Model) a las necesidades del contexto educativo, mediante la adición de la variable percepción de lúdica.  El estudio se realizó en la Facultad de Filosofía y Letras de la UANL, en donde se aplicaron 100 encuestas a estudiantes de licenciatura, obteniendo una buena confiabilidad en el instrumento diseñado, posteriormente se utilizó el paquete estadístico, SPSS por sus siglas en inglés (Statistical Package for the Social Sciences) para analizar los datos, mediante el método de pasos sucesivos de la regresión multivariada. Los resultados del estudio muestran que existen relaciones significativas entre las variables que se plantean en el modelo propuesto, y el estudio muestra de una manera clara y parsimoniosa los factores más importantes que influyen en la aceptación de la plataforma Nexus, por lo anterior, se concluye que se puede aplicar en la aceptación de tecnología educativa, en general.Palabras clave: educación a distancia, Modelo Ajuste Tarea-Tecnología (TTF), Modelo de Aceptación de Tecnología (TAM), plataformas de educación a distancia, Teoría Unificada de aceptación de Tecnología (UTAUT)


2020 ◽  
Vol 12 (5) ◽  
pp. 1075-1092 ◽  
Author(s):  
Aimi Shazwani Ghazali ◽  
Jaap Ham ◽  
Emilia Barakova ◽  
Panos Markopoulos

Abstract In the last years, there have been rapid developments in social robotics, which bring about the prospect of their application as persuasive robots to support behavior change. In order to guide related developments and pave the way for their adoption, it is important to understand the factors that influence the acceptance of social robots as persuasive agents. This study extends the technology acceptance model by including measures of social responses. The social responses include trusting belief, compliance, liking, and psychological reactance. Using the Wizard of Oz method, a laboratory experiment was conducted to evaluate user acceptance and social responses towards a social robot called SociBot. This robot was used as a persuasive agent in making decisions in donating to charities. Using partial least squares method, results showed that trusting beliefs and liking towards the robot significantly add the predictive power of the acceptance model of persuasive robots. However, due to the limitations of the study design, psychological reactance and compliance were not found to contribute to the prediction of persuasive robots’ acceptance. Implications for the development of persuasive robots are discussed.


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